Results 21 to 30 of about 152,300 (264)
Research on Hybrid Retrieval-augmented Dual-tower Model [PDF]
Jisuanji kexueIn the vanguard of knowledge retrieval,particularly in scenarios involving large language models(LLMs),research emphasis has shifted toward employing pure vector retrieval techniques for efficient capture of pertinent information.This information is ...
GAO Hongkui, MA Ruixiang, BAO Qihao, XIA Shaojie, QU Chongxiao
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Re-ranking vehicle re-identification with orientation-guide query expansion
International Journal of Distributed Sensor Networks, 2022 Vehicle re-identification, which aims to retrieve information regarding a vehicle from different cameras with non-overlapping views, has recently attracted extensive attention in the field of computer vision owing to the development of smart cities. This
Xue Zhang +6 more
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Information Retrieval in an Infodemic: The Case of COVID-19 Publications
Journal of Medical Internet Research, 2021 BackgroundThe COVID-19 global health crisis has led to an exponential surge in published scientific literature. In an attempt to tackle the pandemic, extremely large COVID-19–related corpora are being created, sometimes with ...
Douglas Teodoro +8 more
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Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance
IEEE Access, 2019 In this paper, we propose a novel scene retrieval and re-ranking method based on a text-to-image Generative Adversarial Network (GAN). The proposed method generates an image from an input query sentence based on the text-to-image GAN and then retrieves a
Rintaro Yanagi +3 more
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Graph-Embedding Empowered Entity Retrieval
, 2020 In this research, we improve upon the current state of the art in entity retrieval by re-ranking the result list using graph embeddings. The paper shows that graph embeddings are useful for entity-oriented search tasks.
D Metzler +7 more
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A probabilistic justification for using tf.idf term weighting in information retrieval [PDF]
, 2000 This paper presents a new probabilistic model of information retrieval. The most important modeling assumption made is that documents and queries are defined by an ordered sequence of single terms.
Hiemstra, D.
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Sensors, 2020 Billions of electric equipment are connected to Internet of Things (IoT)-based sensor networks, where they continuously generate a large volume of status information of assets. So, there is a need for state-aware information retrieval technology that can
Haesung Lee, Byungsung Lee
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An Intra-Class Ranking Metric for Remote Sensing Image Retrieval
Remote Sensing, 2023 With the rapid development of internet technology in recent years, the available remote sensing image data have also been growing rapidly, which has led to an increased demand for remote sensing image retrieval.
Pingping Liu +5 more
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Personalization by Relevance Ranking Feedback in Impression-based Retrieval for Multimedia Database [PDF]
Journal of Systemics, Cybernetics and Informatics, 2005 This paper proposes an approach to personalization by relevance `ranking' feedback in impression-based retrieval for a multimedia database. Impression-based retrieval is a kind of ambiguous retrieval, and it enables a database user to find not only a ...
Tsuyoshi TAKAYAMA +2 more
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Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks
IEEE Access, 2020 The behavior of peoples' request for a post on online social media is a stochastic process that makes post's ranking highly skewed in nature. We mean peoples interest for a post can grow/decay exponentially or linearly.
Asif Khan +6 more
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